Digital twins are transforming telecom, enabling predictive maintenance, secure network slicing and self-healing systems that redefine resilience and ROI.

As part of Ecolab ® CIP IQ, Ecolab is partnering with 4T2 Sensors and their fluid sensing technology. By integrating this technology into our 3D TRASAR™ sensors, Ecolab is unlocking new levels of ...

Large Language Model (LLM) inference faces a fundamental challenge: the same hardware that excels at processing input prompts struggles with generating responses, and vice versa. Disaggregated serving ...

Mohammedia – Yesterday in Casablanca, Schneider Electric hosted its much-anticipated Innovation Day, bringing together industry leaders, government officials, and technology experts to explore the ...

Together with the previous purchase of 2,200 mining machines, DL has now invested over HK$320 million, with aggregate computing power of approximately 2,100,000 TH/s, aiming within two years to become ...

The project is conceived as an energy transition terminal, designed to progressively adapt to market developments, regulation and industrial demand, and will be equipped to operate with both ...

While Ripple (XRP) whales continue pouring millions of dollars into crypto bags, a new cryptocurrency, Mutuum Finance (MUTM) is receiving serious attention for 2025. Unlike XRP, which relies on market ...

Japanese firms Optim and Kyuden Drone Service launch AI-powered dead tree detection using multispectral drones for infrastructure safety.

Tech Mahindra, a provider of enterprise technology consulting and digital solutions, has announced a partnership with AMD to accelerate enterprise transformation through next-generation infrastructure ...

Volvo Energy, part of the Volvo Group, today officially introduces the PU2000 Battery Energy Storage System (BESS) at its Customer Day in Gothenburg. Designed, developed, and manufactured in Sweden, ...

Behind every AI breakthrough are the companies making the chips, building the platforms, and monitoring the systems.

AI model training consumes more power and needs better cooling than classical compute, which makes it more expensive to run as well as acquire. Although AI instances can run in the cloud, startups ...